In this article, author Robin Moffatt shows how to use Apache Kafka and KSQL to build data integration and processing applications with the help of an e-commerce sample application.

In this article, author discusses the stream processing with KSQL, the streaming SQL engine for Apache Kafka. Topics covered include challenges of stateful stream processing & how KSQL addresses them.

Apache Kafka is a strong choice to handle real-time data streaming as it ingests, persists and presents streams of data for consumption and use by individuals for analytics. Basically, Kafka operates ...

Once a niche technique used only by the largest organizations, stream processing is emerging as legitimate technique for dealing with massive amounts of data generated every day. While it’s not needed ...

Confluent Inc. today announced new features in its cloud service that make it easier for users of its Apache Kafka-based streaming engine to store data in the Apache Iceberg table format. The new ...

In her journey of enhancing data streaming efficiency, Dharika has been involved in several significant projects both within and outside her organization. One of her key projects was the integration ...

We're not quite there yet, but Kafka Streams, a lightweight Java library that works with the Apache Kafka stream data platform, gets us closer, by empowering mainstream Java developers. And today ...

Confluent Inc., maker of a platform for building and managing real-time data streaming pipelines using Apache Kafka, is offering a boost to organizations in financial services, healthcare, advertising ...

The Apache Kafka, Apache Flink, and Apache Iceberg communities are developing new ways for engineers to manage data and meet application needs.